Telegram RegisterThe public register of Telegram
Telegram profile photo for GitHub repos

Channel

GitHub repos

@github_repos

On this record: Topic · Growth · Engagement · What this channel posts · Reactions · Stars · Posts · Citations · Handles named that no longer answer · Telegram's recommendations · Cite this entry

28,145subscribers

+1,289 since we began measuring on 5 August 2026

Risers and fallers across the register · movement among entries of 10,000–31,623.

Register entry

Telegram ID-1001065452260
TypeChannel
Username@github_repos
DescriptionWelcome to GitHub repos. Here you'll find valuable information on the latest trending projects. Subscribe to stay informed and gain insights from the thriving GitHub community.
Created1 July 2016 — measured — cross-checked against a third-party dataset (ext.tg_channel)
First recorded6 August 2026
Last confirmed live10 November 2026
Measurements held65
Confirmed unchanged1 time, most recently 10 November 2026
On Telegramt.me/github_repos

Topic

Technology — a classification, not a measurement. An on-box language model (Qwen3.6-35B-A3B-FP8, prompt version 1) read this channel’s own recent posts on 10 September 2026 and assigned it the closest of 31 fixed categories, at 98% confidence. This is a model’s judgement about what the channel is likely to be about, not a fact this register measured the way a subscriber count or a view count is measured — it can be revised on a later pass, and it carries no weight anywhere else on this page. How this classification works, and the other topics.

Growth

26,85628,14527,500.55 August 202610 November 2026
65 measurements spanning 97 days, net +1,289. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 26,663–28,338 and does not start at zero.
Measurement log — every subscribers count we have recorded, most recent 20 of 65
Measured (UTC)SubscribersChange
10 Nov 2026, 12:0628,145+35
9 Nov 2026, 01:4628,110+21
7 Nov 2026, 19:4528,089+43
6 Nov 2026, 14:5728,046+26
5 Nov 2026, 15:2128,020+32
4 Nov 2026, 12:2527,988+16
3 Nov 2026, 09:5827,972+26
2 Nov 2026, 09:5527,946+28
1 Nov 2026, 07:5727,918+1
31 Oct 2026, 06:2627,917+18
30 Oct 2026, 05:3527,899+19
29 Oct 2026, 02:1027,880+13
28 Oct 2026, 03:2827,867+9
27 Oct 2026, 05:4027,858+15
26 Oct 2026, 08:1127,843+2
25 Oct 2026, 11:4027,841+25
24 Oct 2026, 09:4627,816+17
23 Oct 2026, 08:0527,799+15
22 Oct 2026, 05:2927,784+16
21 Oct 2026, 01:5627,768first reading

Engagement

370 posts held, back to 1 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 151 pages of Telegram’s post history, 20 posts per page.

ERR · 30 days
4.25%
avg views ÷ 28,145 subscribers
Avg views / post
1,200
121 posts measured
Reaction rate
0.186%
reactions ÷ views · ER floor
Posts in window
121
of 370 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views — note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate. It is computed over the 90 of 121 measured posts that carry a reaction reading, and over those same posts' views.

What these figures were computed from
WindowRolling 30 days · latest post in window 10 November 2026
Posts held370 (1 August 2026 – 10 November 2026)
Views total144,655
Reactions total203
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken11 Nov 2026, 02:38 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

What this channel posts

Photos
≈18
Videos
≈2
Links
≈13,100

Lifetime counters from Telegram’s own channel header, read 11 November 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.

Reaction mix

602 reactions across 245 posts, in 21 distinct kinds. The most used accounts for 43.9% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
👍26443.9%
❤16026.6%
🔥8313.8%
🎉284.65%
👌152.49%
😁111.83%
💩91.50%
👎60.997%
👏60.997%
🥰40.664%
🎃30.498%
💯20.332%
🤡20.332%
🤯20.332%
🌚10.166%
👾10.166%
💊10.166%
🖕10.166%
🙏10.166%
🤔10.166%
1 further kind10.166%

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 259 of the 370 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 606 reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 370 most recent posts we hold, published 1 August 2026 to 10 November 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
1
across the posts below
Posts paid on
1
of 370 we hold a reading for · 0.3%
Most on one post
1
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @github_repos. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 370 most recent posts we hold for this entry, published 1 August 2026 to 10 November 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

Telegram’s own ‘edited’ marker: 0 of 121 posts held from the last 30 days (0%) carried it when this register last read them. The marker says a post was changed after publishing, not what it said before — this register holds the earlier wording only where an edit fell between two of its own reads (see the edit ledger and how it is measured).

10 Nov 2026, 23:00 UTC160 viewsread 11 November 2026

jamesondh/chimera-vocal-synth the ultimate vocal synthesizer - sing, speak, beatbox, and more Language: Rust Stars: 1342 Issues: 26 Forks: 153 https://github.com/jamesondh/chimera-vocal-synth

10 Nov 2026, 17:00 UTC432 views7 reactionsread 11 November 2026

IainKay/ram-altman Monitors your RAM and reports any "quite terrible" unused capacity directly to the CEO of OpenAI. Language: Shell #bash #cron #dram #email #humor #linux #meminfo #memory #monitoring #openai #parody #ram #ram_altman #sam_altman #sam_altman_openai #shell_script #sysadmin Stars: 1535 Issues: 22 Forks: 43 https://github.com/IainKay/ram-altman

😁5❤2

10 Nov 2026, 11:00 UTC608 viewsread 11 November 2026

huamidev/GestaltX An MobileGestalt editor for iOS 27.x, featuring region-code tweaks, device presets, backups, and support for 7 languages. Language: Swift Stars: 3288 Issues: 20 Forks: 1289 https://github.com/huamidev/GestaltX

10 Nov 2026, 05:00 UTC742 views2 reactionsread 11 November 2026

DIYgod/pinky Let AI agents use your phone, with you in the loop. Language: Go Stars: 1129 Issues: 15 Forks: 116 https://github.com/DIYgod/pinky

👍2

9 Nov 2026, 23:00 UTC829 views2 reactionsread 11 November 2026

shanselman/gputaskman A GPU task manager for Windows, Linux, and WSL: per-process VRAM, GPU activity, and LLM model/KV-cache insights (Windows AMD and NVIDIA). Language: Python Stars: 1221 Issues: 9 Forks: 59 https://github.com/shanselman/gputaskman

👍2

9 Nov 2026, 17:00 UTC884 viewsread 11 November 2026

Leviidev/Henge Emulate macOS on iOS and iPadOS Language: C Stars: 1294 Issues: 41 Forks: 98 https://github.com/Leviidev/Henge

9 Nov 2026, 11:00 UTC≈1,000 viewsread 11 November 2026

tangerineturtle1/NX2navi Language: C Stars: 1611 Issues: 201 Forks: 85 https://github.com/tangerineturtle1/NX2navi

9 Nov 2026, 05:00 UTC≈1,070 views1 reactionsread 11 November 2026

voyager-so/vork Headless 3D and VFX engine for agents. Research preview. Language: Rust #3d #ai_agents #gpu #metal #ray_tracing #rendering #rust #slang #vfx #vulkan Stars: 965 Issues: 1 Forks: 64 https://github.com/voyager-so/vork

👍1

8 Nov 2026, 23:00 UTC≈1,080 views3 reactionsread 11 November 2026

libracoder/kiri A small, fast container runtime for macOS, Windows and Linux Language: Rust Stars: 975 Issues: 22 Forks: 63 https://github.com/libracoder/kiri

👍2❤1

8 Nov 2026, 17:00 UTC≈1,110 views4 reactionsread 11 November 2026

sarpstar/cinecode Films made with code. Short films, long YouTube videos, ads, explainers and music videos: an AI coding agent writes the script, builds every frame in code, designs the sound and hands you an MP4. Language: Python Stars: 1082 Issues: 1 Forks: 195 https://github.com/sarpstar/cinecode

👍4

8 Nov 2026, 11:00 UTC≈1,150 viewsread 11 November 2026

NotRexed/Hookshot A Native Recompilation Of The Legend Of Zelda: Ocarina Of Time Nintendo Switch 2 Remake Language: C++ Stars: 2118 Issues: 196 Forks: 200 https://github.com/NotRexed/Hookshot

8 Nov 2026, 05:00 UTC≈1,150 views3 reactionsread 11 November 2026

Sandflow-ai/sand3d 3D modeling in Python, built for LLMs. Language: HTML #3d #blender #cad #llm #procedural_modeling #python #usd Stars: 877 Issues: 6 Forks: 103 https://github.com/Sandflow-ai/sand3d

👍3

Showing the 12 most recent of 370 posts we hold for @github_repos. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Forward network

Republished by

Channels on the register that have forwarded this channel's posts into their own feed.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

Named by 3 registered channels — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Channels Telegram recommends alongside this one

Telegram’s own answer, not this register’s. When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.

Cool GitHub repositories
@github_repositories_bds · 11,215
#1
GitHub Trends
@githubtrending · 12,007
#2
CoolGithubProjects
@r_CoolGithubProjects · 4,749
#3
Linuxgram 🐧
@linuxgram · 72,399
#4
FrontEnd Development
@fedevelopment · 28,445
#5
Hacker News
@hacker_news_feed · 30,560
#6
Front End World
@front_end_first · 25,623
#7
Github tools
@githubx · 3,309
#8
It's FOSS
@itsfoss_official · 13,283
#9
Major John
@MajorJohn23 · 1,214
#10
Frectonz
@thefrectonz · 4,036
#11
Web Development
@webde · 31,405
#12
Hacker News
@hackernewslive · 29,139
#13
DoniVerse
@doniverse · 1,290
#14
Computer Science and Programming
@computer_science_and_programming · 138,623
#15
Tech Nerd
@selfmadecoder · 10,446
#16
The Bug Bounty Hunter
@thebugbountyhunter · 52,140
#17
Code Stars
@code_stars · 2,635
#18
GitHub'ненько
@buhtig · 1,122
#19
esica • tech, foss, life.
@esicachannel · 7,787
#20
KerVerse
@TheKerVerse · 935
#21
Sysadmin Tools 🇺🇦
@sysadmin_tools · 4,247
#22
r/InternetIsBeautiful
@r_InternetIsBeautiful · 861
#23
The Devs
@thedevs · 31,916
#24
Dev Useful Stuff
@dev_useful_stuff · 2,228
#25
Data science/ML/AI
@datascience_bds · 14,048
#26
Found This
@found_this · 1,291
#27
Coding Projects
@Programming_experts · 67,940
#28
Web Development
@web_dev_bds · 4,433
#29
AI & Deep Learning
@deeplearning005 · 11,321
#30
Web Development
@webdevcoursefree · 79,292
#31
Programmer Humor
@programmer_humor · 21,320
#32
Ezedin Fedlu (Dark horse)
@D4RKH0R5E · 3,254
#33
Programming
@ProgrammingReddit · 928
#34
Data Visualization
@data_visualization_bds · 6,274
#35
Cyber Guardians
@IRCyberGuardians · 21,035
#36
AI.News.Daily
@ainews_daily · 4,068
#37
Codenight Info
@CodeNight_Info · 3,066
#38
Ready.code - JS development. Releases and articles
@ready_dot_code · 8,472
#39
Programmer Jokes
@programmerjokes · 106,012
#40
KiNFiSH Farms
@kinfishfarms · 2,922
#41
DoughNut 🍩
@DoughNutDrops · 3,063
#42
Beka
@bekacru_c · 5,899
#43
Linkedin Learning
@linkedin_learning · 216,619
#44
The Hacker News
@thehackernews · 165,436
#45
GitHub Community
@github · 154,995
#46
Solo codes
@SoloDevChronicles · 3,607
#47
ATT • Tech News
@agamtechtricks · 6,236
#48
Chapi Dev Talks
@chapidevtalks · 10,465
#49
Dagmawi Babi Jobs
@DagmawiBabiJobs · 4,583
#50
vx-underground
@vxunderground · 52,873
#51
Henok | Neural Nets
@neural_netss · 2,403
#52
Techኢት
@TechInEthio · 5,564
#53
Luna's pathway🤗
@Luna_moonmam · 6,543
#54
Josad Software Jobs
@josad_software · 14,559
#55
Learn Python
@LearnPython3 · 125,047
#56
The Blogrammer
@the_blogrammer · 3,794
#57
Web Development
@webdev_trainings · 133,578
#58
Kube Architect
@KubeArchitect · 8,911
#59
r/unixporn - Channel
@r_unixporn · 4,726
#60
AI - Artificial Intelligence
@aineeringdotcom · 16,061
#61
Udemy
@udemyrip · 68,784
#62
r/SelfHosted
@r_SelfHosted · 997
#63
DevOps(Document Repository)
@DevopsDoc · 9,773
#64
Netsec
@RNetsec · 8,041
#65
DevOps&SRE Library
@devopslibrary · 19,870
#66
/g/'s Tech Memes
@gentoomemes · 28,569
#67
Cyber Threat Intelligence
@ctinow · 40,308
#68
QEMER - ቀመር : Tech-driven Community
@qemer_daily · 539
#69
Open Source
@open_source_friend · 52,669
#70
solo lemon. - запускаємо pet-проєкти
@sololemonx · 5,009
#71
Coding Interview Preparation
@coding_interview_preparation · 5,852
#72
Machinelearning
@ai_machinelearning_big_data · 275,659
#73
Natyiu Design
@designguru01 · 1,321
#74
Технологический Болт Генона
@tech_b0lt_Genona · 10,599
#75
Находки в опенсорсе
@opensource_findings · 12,864
#76

Read from Telegram’s recommendation API, most recently 11 September 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.

Appears in Telegram’s recommendations for other channels

The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.

DataFlair
@dataflair · 18,577
Telegram ranks this channel #5 of 83 here — alongside 82 others — read 4 October 2026
FrontEnd Development
@fedevelopment · 28,445
Telegram ranks this channel #6 of 88 here — alongside 87 others — read 9 September 2026
Web Development
@webde · 31,405
Telegram ranks this channel #6 of 84 here — alongside 83 others — read 5 September 2026
Python learning
@python3learning · 22,150
Telegram ranks this channel #7 of 71 here — alongside 70 others — read 20 September 2026
Front End World
@front_end_first · 25,623
Telegram ranks this channel #7 of 90 here — alongside 89 others — read 13 September 2026
The Devs
@thedevs · 31,916
Telegram ranks this channel #7 of 82 here — alongside 81 others — read 5 September 2026
Flutter Heroes
@flutterDev · 22,008
Telegram ranks this channel #10 of 87 here — alongside 86 others — read 20 September 2026
Linuxgram 🐧
@linuxgram · 72,399
Telegram ranks this channel #11 of 90 here — alongside 89 others — read 19 August 2026
Computer Science and Programming
@computer_science_and_programming · 138,623
Telegram ranks this channel #13 of 87 here — alongside 86 others — read 13 August 2026
Web design & 😃 development
@WebsiteDesignLearningGroup · 27,637
Telegram ranks this channel #17 of 63 here — alongside 62 others — read 10 September 2026
Udemy Courses Free
@udemycoursesfree · 170,541
Telegram ranks this channel #23 of 32 here — alongside 31 others — read 28 September 2026
🤖 Coding News ⚡️
@CodingNews · 22,643
Telegram ranks this channel #24 of 68 here — alongside 67 others — read 19 September 2026
Udemy Free Course ( Udemy Gratis)
@Udemyfree4_u · 25,977
Telegram ranks this channel #26 of 36 here — alongside 35 others — read 12 September 2026
WeMakeDevs
@WeMakeDevs · 23,845
Telegram ranks this channel #27 of 55 here — alongside 54 others — read 16 September 2026
Frontend Trend
@frontend_trend · 18,782
Telegram ranks this channel #30 of 75 here — alongside 74 others — read 3 October 2026
TheSanskaarSingh
@codeslearningTG · 272,448
Telegram ranks this channel #30 of 84 here — alongside 83 others — read 11 August 2026
YukNgaji Official
@yukngajiofficial · 19,759
Telegram ranks this channel #31 of 50 here — alongside 49 others — read 28 September 2026
JavaScript
@javascript · 30,917
Telegram ranks this channel #31 of 76 here — alongside 75 others — read 6 September 2026
Sarkari Rush
@sarkarirushofficial · 28,125
Telegram ranks this channel #32 of 51 here — alongside 50 others — read 9 September 2026
Programming, data science, ML - free courses by Big Data Specialist
@bigdataspecialist · 26,239
Telegram ranks this channel #34 of 80 here — alongside 79 others — read 12 September 2026
Jobs Gallery
@JobsGallery · 24,527
Telegram ranks this channel #35 of 68 here — alongside 67 others — read 14 September 2026
Ankit Goyal (One Man Army)
@gateair1 · 21,384
Telegram ranks this channel #38 of 53 here — alongside 52 others — read 23 September 2026
CyberTecz 🌍
@cybertecz · 36,231
Telegram ranks this channel #45 of 69 here — alongside 68 others — read 31 August 2026
Sanskritganga संस्कृतगंगा
@sanskritganga · 48,767
Telegram ranks this channel #48 of 57 here — alongside 56 others — read 26 August 2026

This channel appears in 41 seed channels' Telegram-generated recommendation lists in total, of which the 24 where it ranks highest are shown above. Each is Telegram’s list for THAT channel, not this one — see how this is measured.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 10 November 2026 — this entry's latest reading, not the date you are reading this.

“GitHub repos” (@github_repos), 28,145 subscribers as measured 10 November 2026. Telegram Register, tgregister.com/channel/github_repos.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.